A Detailed Study of Photometric Redshifts for GOODS-South Galaxies
Tomas Dahlen, Bahram Mobasher, Mark Dickinson, Henry C. Ferguson,, Mauro Giavalisco, Norman A. Grogin, Yicheng Guo, Anton Koekemoer, Kyoung-Soo, Lee, Seong-Kook Lee, Mario Nonino, Adam G. Riess, Sara Salimbeni

TL;DR
This paper presents a comprehensive, deep catalog of photometric redshifts for GOODS-South galaxies, utilizing extensive multi-band data and advanced photometry and redshift estimation techniques, achieving high accuracy and depth.
Contribution
The study introduces a new deep catalog of photometric redshifts for over 32,000 GOODS-South galaxies, using improved photometry and template fitting with training, surpassing previous depth and object count.
Findings
Photometric redshifts have a scatter of sigma=0.040 with 3.7% outliers.
The catalog covers 153 sq. arcmin with 32,505 objects.
Redshift estimates for dropouts are consistent with Lyman break expectations.
Abstract
We use the deepest and the most comprehensive photometric data currently available for GOODS-South galaxies to measure their photometric redshifts. The photometry includes VLT/VIMOS (U-band), HST/ACS (F435W, F606W, F775W, and F850LP bands), VLT/ISAAC (J-, H-, and Ks-bands), and four Spitzer/IRAC channels (3.6, 4.5, 5.8, and 8.0 micron). The catalog is selected in the z-band (F850LP) and photometry in each band is carried out using the recently completed TFIT algorithm, which performs PSF matched photometry uniformly across different instruments and filters, despite large variations in PSFs and pixel scales. Photometric redshifts are derived using the GOODZ code, which is based on the template fitting method using priors. The code also implements "training" of the template SED set, using available spectroscopic redshifts in order to minimize systematic differences between the templates…
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